My research focuses on developing practical AI systems that bridge the gap between theory and real-world deployment. My interests span computer vision, intelligent sensing, autonomous systems and embodied AI, with an emphasis on solutions that can operate reliably in complex environments.
My work combines advances in machine learning with engineering principles to develop systems capable of perceiving, understanding and interacting with the physical world.
Development of intelligent systems capable of perceiving, reasoning and acting within the physical world.
My current research interests focus on the integration of perception, intelligence and action in autonomous robotic systems operating in real environments.
Areas of interest include:
Autonomous mobile robots
Multi-modal robotic perception
Sensor-guided navigation and exploration
Semantic understanding of environments
Learning-based autonomous behaviour
Resource-constrained robotic intelligence
Inspection and service robotics
Mobile manipulation using robotic arms
My current work explores practical embodied AI systems that combine computer vision, embedded intelligence and autonomous decision making on resource-constrained robotic platforms.
Development of visual perception systems that enable intelligent systems and robots to understand and interact with their environment.
Research areas include:
Object detection and tracking
Human activity recognition
Video analytics
Scene understanding
Anomaly detection
Multi-camera surveillance systems
Omnidirectional and 360° vision systems
Sensor fusion and multi-modal perception
Research into deploying intelligent perception and decision-making systems on embedded and resource-constrained platforms.
Areas include:
Edge AI deployment
Real-time inference
Embedded computer vision
Low-power intelligent sensing
Distributed robotic perception
AI on microcontroller and embedded platforms
Application of AI and computer vision techniques to public safety, transport and security environments.
Representative applications include:
Smart parking systems
Real-time inventory monitoring
Public safety analytics
Behaviour analysis in public spaces
Loitering and abandoned object detection
Drone detection and tracking
Infrared intruder detection
Intelligent transport systems
Application of machine learning and computer vision techniques to medical image analysis and healthcare applications.
Areas include:
Medical image localisation
Medical image segmentation
Boundary-aware segmentation
AI-assisted clinical image analysis
The next generation of intelligent systems will increasingly combine perception, learning and physical interaction with the environment.
My current areas of exploration include:
ROS2 and micro-ROS robotics
Vision and LiDAR based perception systems
Autonomous navigation and mapping
Mobile manipulation
AI-controlled drones
Inspection and service robotics
Continual and lifelong learning in robotics